• 1
    Donabedian A. Explorations in Quality Assessment and Monitoring, Volume 1. The Definition of Quality and Approaches to its Assessment. Ann Arbor: Health Administration Press, 1980.
  • 2
    Arah OA, Westert GP, Hurst J, Klazinga NS. A conceptual framework for the OECD health care quality indicators project. International Journal of Quality in Health Care, 2008; 18 (Suppl. 1): 513.
  • 3
    Ackermann RT, Thompson TJ, Selby JV et al. Is the number of documented diabetes process-of-care indicators associated with cardiometabolic risk factor levels, patient satisfaction, or self-rated quality of diabetes care? The Translating Research into Action for Diabetes (TRIAD) study. Diabetes Care, 2006; 29: 21082113.
  • 4
    Renders CM, Valk GD, Franse LV, Schellevis FG, van Eijk JThM, van der Wal G. The long-term effectiveness of a quality improvement program for patients with type 2 diabetes in general practice. Diabetes Care, 2001; 24: 13651370.
  • 5
    Tabrizi JS, Wilson AJ, O’Rourke PK, Coyne ET. Patient perspectives on consistency of medical care with recommended care in type 2 diabetes. Diabetes Care, 2007; 30: 28552856.
  • 6
    Gross R, Tabenkin H, Porath A et al. The relationship between primary care physicians adherence to guidelines for the treatment of diabetes and patient satisfaction: findings from a pilot study. Family Practice, 2003; 20: 563569.
  • 7
    Kulkarni K, Castle G, Gregory R. Nutrition practice guidelines for type 1 diabetes mellitus positively affect dietitian practices and patient outcomes. The diabetes care and education diabetic practice group. Journal of the American Dietetic Association, 1998; 98: 6270.
  • 8
    Chang JT, Hays RD, Shekelle PG et al. Patients’ global ratings of their health care are not associated with the technical quality of their care. Annals of Internal Medicine, 2006; 144: 665672.
  • 9
    Rao M, Clarke A, Sanderson C, Hammersley R. Patients’ own assessments of quality of primary care compared with objective records based measures of technical quality of care: cross sectional study. BMJ, 2006; 333: 1922.
  • 10
    Jha AK, Orav J, Zheng J, Epstein AM. Patients’ perception of hospital care in the United States. New England Journal of Medicine, 2008; 359: 19211931.
  • 11
    American Diabetes Association. Standards of medical care in diabetes – 2008. Diabetes Care, 2008; 31 (Suppl. 1): S12S54.
  • 12
    Clark CM, Snyder JW, Meek RL, Stutz LM, Parkin CHG. A systematic approach to risk stratification and intervention within a managed care environment improves diabetes outcome and patient satisfaction. Diabetes Care, 2000; 24: 1791086.
  • 13
    Stubbe J, Spreeuwenberg P, ten Asbroek AHA. [CQ Index Diabetes: Validity, Reliability, and Performance Differentiating Properties of the Experience Questionnaire]. Utrecht: Netherlands Institute for Health Services Research (Nivel), 2007.
  • 14
    Enthoven AC, van de Ven WPMM. Going Dutch – managed-competition health insurance in the Netherlands. New England Journal of Medicine, 2007; 357: 24212423.
  • 15
    Arah OA, ten Asbroek AHA, Delnoij DMJ et al. The psychometric properties of the Dutch version of the United States Hospital-level Consumer Assessment of Health Plans Survey instrument. Health Services Research, 2006; 41: 284301.
  • 16
    Delnoij DMJ, ten Asbroek AHA, Arah OA et al. Made in the USA: Importing the Consumer Assessment of Health Plans Study instrument into the Dutch social insurance system. European Journal of Public Health, 2006; 16: 652659.
  • 17
    Damman OC, Stubbe J, Hendriks M et al. Using multilevel modeling to assess case-mix adjusters in consumer experience surveys in health care. Medical Care, 2009; 47: 496503.
  • 18
    Gelman A, Hill J. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge: Cambridge University Press, 2007.
  • 19
    Zaslavsky AM. Using hierarchical models to attribute sources of variation in consumer assessments of healthcare. Statistics in Medicine, 2007; 26: 18851900.
  • 20
    Arah OA, Chiba Y, Greenland S. Bias formulas for external adjustment and sensitivity analysis of unmeasured confounders. Annals of Epidemiology, 2008; 18: 637646.
  • 21
    Rothman KJ, Greenland S, Lash TL (editors). Modern Epidemiology, 3rd edn. Philadelphia: Lippincott Williams & Wilkins, 2008.
  • 22
    SAS Institute Inc. SAS® 9.1.3 for Windows [Statistical Software]. Cary: SAS Institute Inc., 2003.
  • 23
    Coulter A. Can patients assess the quality of health care?BMJ, 2006; 333: 12.
  • 24
    Collier A, Ghosh S, Davidson DF, Kilpatrick ES. HbA1c: ‘The old order changeth’. Diabetic Medicine, 2009; 26: 573576.
  • 25
    Colagiuri R, Eigenmann CA. A national consensus on outcomes and indicators for diabetes patient education. Diabetic Medicine, 2009; 26: 442446.
  • 26
    Fosse S, Hartemann-Heurtier A, Jacqueminet S, Ha Van G, Grimaldi A, Fagot-Campagna A. Incidence and characteristics of lower limb amputations in people with diabetes. Diabetic Medicine, 2009; 26: 391396.
  • 27
    Hewitt J, Smeeth L, Bulpitt CJ, Fletcher AE. The prevalence of Type 2 diabetes and its associated health problems in a community-dwelling elderly population. Diabetic Medicine, 2009; 26: 391396.
  • 28
    Gold R, DeVoe J, Shah A, Chauvie S. Insurance continuity and receipt of diabetes preventive care in a network of federally qualified health centers. Medical Care, 2009; 47: 431439.
  • 29
    Andel M, Grzeszczak W, Michalek J et al. A multinational, multi-centre, observational, cross-sectional survey assessing diabetes secondary care in Central and Eastern Europe (DEPAC Survey). Diabetic Medicine, 2009; 25: 11951203.